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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| MambaVision: A Hybrid Mamba-Transformer Vision Backbone |
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| Ali Hatamizadeh, Jan Kautz |
| 2024 |
| arxiv 2407.08083 |
| DCANet: Dense Context-Aware Network for Semantic Segmentation | Yifu Liu, Chenfeng Xu, Xinyu Jin | 2021 | arxiv 2104.02533 |
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| Self-attention on Multi-Shifted Windows for Scene Segmentation | Litao Yu, Zhibin Li, Jian Zhang | 2022 | arxiv 2207.04403 |
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| Multi-Path Feedback Recurrent Neural Network for Scene Parsing | Xiaojie Jin, Yunpeng Chen, Jiashi Feng | 2016 | arxiv 1608.07706 |
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| Brain-Inspired Stepwise Patch Merging for Vision Transformers | Yonghao Yu, Dongcheng Zhao, Guobin Shen | 2024 | arxiv 2409.06963 |
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| Low-Resolution Self-Attention for Semantic Segmentation | Yu-Huan Wu, Shi-Chen Zhang, Yun Liu | 2023 | arxiv 2310.05026 |
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| AASeg: Attention Aware Network for Real Time Semantic Segmentation | Abhinav Sagar | 2021 | arxiv 2108.04349 |
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| Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation | Loic Themyr, Clement Rambour, Nicolas Thome | 2022 | arxiv 2212.07890 |
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| Neural Prior Estimation: Learning Class Priors from Latent Representations | Masoud Yavari, Payman Moallem | 2026 | arxiv 2602.17853 |
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| StaticSegFormer: An Efficient High-Performance Semantic Segmentation Based on Static Structured Pruning | Timo Bartels, Danish Nazir, Jan Piewek | 2026 | arxiv 2608.04811 |
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